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7 repository-uri

Awesome GitHub RepositoriesAgent Servers

Runtime environments and APIs designed for hosting, managing, and configuring the execution of agent-based applications.

Explore 7 awesome GitHub repositories matching artificial intelligence & ml · Agent Servers. Refine with filters or upvote what's useful.

Awesome Agent Servers GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • langchain-ai/langchainAvatar langchain-ai

    langchain-ai/langchain

    139,458Vezi pe GitHub↗

    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows that manage state, memory, and tool execution. The project distinguishes itself through a durable execution runtime that maintains persistent state across long-running processes by checkpointing progress to external storage. It models agent workflows as directed graphs, allowing

    Offers standardized endpoints for provisioning, configuring, and monitoring the operational lifecycle of assistant instances.

    Pythonagentsaiai-agents
    Vezi pe GitHub↗139,458
  • opendevin/opendevinAvatar OpenDevin

    OpenDevin/OpenDevin

    77,460Vezi pe GitHub↗

    OpenDevin is an autonomous software engineering agent and orchestrator designed to execute coding tasks and manage development workflows using large language models. It functions as a centralized control center for managing and switching between various local and cloud artificial intelligence backends. The system utilizes a Docker sandbox environment to isolate autonomous agents in containers, protecting the host filesystem during code execution. It includes an automated engineering workflow tool that integrates with version control and chat services to trigger tasks via webhooks or scheduled

    Ships a centralized server to host and coordinate multiple autonomous agents on a single instance.

    Python
    Vezi pe GitHub↗77,460
  • mastra-ai/mastraAvatar mastra-ai

    mastra-ai/mastra

    21,221Vezi pe GitHub↗

    Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

    Provides programmatic access to agent capabilities through server-based APIs for external application interaction.

    TypeScriptagentsaichatbots
    Vezi pe GitHub↗21,221
  • pydantic/pydantic-aiAvatar pydantic

    pydantic/pydantic-ai

    17,791Vezi pe GitHub↗

    PydanticAI is a Python framework designed for building production-grade autonomous agents. It provides a unified interface for interacting with diverse language models, enabling developers to construct agents that perform complex tasks through structured data validation, tool execution, and multi-turn conversation management. The library centers on type-safe schema enforcement, ensuring that model inputs and outputs remain consistent and reliable throughout the agent's lifecycle. The framework distinguishes itself through a robust architecture that emphasizes modularity and testability. It ut

    Wraps agent logic in network applications to enable communication with other systems via standardized protocols.

    Pythonagent-frameworkgenaillm
    Vezi pe GitHub↗17,791
  • camel-ai/camelAvatar camel-ai

    camel-ai/camel

    17,253Vezi pe GitHub↗

    This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer. The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva

    Wraps agent instances as network-accessible services for integration with external systems.

    Pythonagentai-societiesartificial-intelligence
    Vezi pe GitHub↗17,253
  • nicocha30/ligolo-ngAvatar nicocha30

    nicocha30/ligolo-ng

    4,289Vezi pe GitHub↗

    Ligolo-ng is a network tunneling framework and control server designed for managing remote agents and coordinating network routing. It functions as a reverse tunneling proxy and a site-to-site VPN tool, utilizing a userland TUN interface to pivot network traffic through remote agents. The project distinguishes itself by using a TUN interface routing system to forward TCP, UDP, and ICMP traffic through multiple remote agents. It implements a C2 model where a central server manages remote agents to bypass firewall restrictions and provide direct subnet access to isolated networks. The system c

    Provides a central control server that manages remote agents, handles tunnels, and provides automatic recovery from network failures.

    Gogolangoffensive-securitypentest-tool
    Vezi pe GitHub↗4,289
  • i-am-bee/beeai-frameworkAvatar i-am-bee

    i-am-bee/beeai-framework

    3,304Vezi pe GitHub↗

    The BeeAI Framework is an LLM agent framework and multi-agent orchestration engine used to build autonomous agents that coordinate reasoning, tool execution, and complex workflows. It functions as a structured AI output controller and RAG integration library, providing a unified interface to manage multiple language model providers. The framework is distinguished by its implementation of the Model Context Protocol, allowing agents, tools, and models to be shared between different AI platforms and hosted as agentic tooling servers. It enables the design of collaborative agent teams through dec

    Hosts agents and their capabilities as servers to expose them to external clients and platforms.

    Pythonagentsaiai-agent
    Vezi pe GitHub↗3,304
  1. Home
  2. Artificial Intelligence & ML
  3. Agentic Systems Frameworks
  4. Integration and Deployment
  5. Infrastructure and Runtime Environments
  6. Agent Servers

Explorează sub-etichetele

  • Agent Server APIsAPIs for managing the lifecycle and configuration of assistant instances.
  • Network Agent Management ServersCentral control servers that manage remote network agents, handle tunnels, and provide automatic recovery from network failures. **Distinct from Agent Servers:** Distinct from Agent Servers: focuses on managing network tunneling agents rather than AI agent execution environments.